• Title/Summary/Keyword: Multiple Intelligency

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The Effect of Organizational Adaptation of Workers' Adversity Quotation (직장인의 역경지수가 조직적응에 미치는 영향)

  • An, Ji-Yeon;Kim, Hye-Jin
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.295-306
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    • 2015
  • The study examined the adversity quotient to determine the organizational adaptation among office workers in Korea. Participants were 202 adults who work in general offices in Seoul and Gyeonggi-do. Data were collected from August to October in 2013. Adversity quotient was measured using Stoltz's Adversity Quotient Profile(AQP) and Correlation analysis and multiple regression analysis were done. In result, adversity quotient was significantly related with emotional intelligency and resilience. Multiple regression revealed that adversity quotient emerged as the most significant predictor of organizational adaptation. Adversity Quotient Profile could be a useful tool to measure the capacity of overcoming the adversity and applied to develop the education contents or program strategies.

A Study on Relation between e-Learning Strategy and Multiple Intelligence of College Students of Engineering Department (공과대 학생들의 e-Learning 전략과 다중지능의 관련성 연구)

  • An, Gwang-Sik;Park, Hae-Ouk;Kim, Mi-Young;Lee, Ja-Hee;Ku, Jin-Hee;Choi, Won-Sik
    • 대한공업교육학회지
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    • v.30 no.2
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    • pp.72-81
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    • 2005
  • The purpose of this study is to do research on correlation between multiple intelligence and e-Learning strategy, which can be used to develop and strengthen e-Learning strategy. The subject was 183 college students of engineering at C university who had ever taken a lesson through e-Learning. Two items are investigated in these college students. One is whether there is a gap and any gender-related difference in multiple intelligence and e-Learning strategy, and the other is what multiple intelligences have an effect on e-Learning strategy. The e-Learning strategy developed by In-Sock Lee and the instrument by Yong-Lin Moon were used. The results of this study are as follows. First, it appeared that there was a difference between gender in musical intelligence and naturalistic intelligence. The average of musical intelligence was higher in female collegian, while the average of naturalistic intelligence was higher in male collegian. But there was no gender-related difference in using e-Learning strategy. Second, it appeared that multiple intelligence gave an explanation of self-direction intelligence up to 31.1%, expression strategy 20.35%, and information processing strategy 16.6%. The results of this study showed that logical-mathematical intelligence affected all of three e-Learning strategies. So, new curriculum which can make use of logical-mathematical intelligence needs to be developed so as to devise efficient e-Learning strategies.